Find Long-Tail Keywords
Discover highly specific, lower-competition long-tail keywords that convert better than broad terms.
Map Keywords to Topic Clusters
Group related keywords into topic clusters to build topical authority and create a structured site architecture.
Quick answer: Use the Keyword Research tool through ToolRouter to map keywords to topic clusters directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolTopic clustering is the modern approach to SEO architecture. Instead of targeting one keyword per page in isolation, you group semantically related keywords into clusters with a pillar page at the center and supporting pages around it. Google rewards this structure with higher rankings because it demonstrates deep expertise on a topic.
ToolRouter's cluster_keywords skill analyzes semantic relationships between keywords and automatically groups them into meaningful clusters. Each cluster becomes a content hub: one comprehensive pillar page targeting the broadest term, with supporting articles targeting specific subtopics that link back to the pillar.
This matters because Google's algorithm increasingly evaluates topical authority — sites that cover a subject comprehensively outrank those with scattered, unrelated content. Clustering also eliminates keyword cannibalization where multiple pages compete for the same terms. It creates natural internal linking structures, makes content planning systematic rather than ad hoc, and helps readers find related content they need.
How to map keywords to topic clusters with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude clusters keywords into topical groups and helps you design a content architecture that builds authority. After the initial grouping, discuss how to structure pillar pages and supporting content, ask Claude to map existing URLs to clusters, or refine the taxonomy until it matches your site's information architecture.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to map keywords to topic clusters with Claude
Once connected (see setup above), use the Keyword Research tool:
- Ask Claude: "Cluster these keywords into topic groups: [paste your keyword list]"
- Claude runs cluster_keywords and organizes your keywords into semantic groups
- Ask: "Identify the pillar page for each cluster and suggest supporting articles"
- Claude maps out the full content hub structure with internal linking recommendations
Example prompt for Claude
Try this with Claude using the Keyword Research tool
Cluster my keywords about "digital marketing" into topic groups. For each cluster, tell me what the pillar page should cover and list the supporting articles.
Tips for Claude
- Claude identifies natural cluster boundaries you might not see manually
- Ask for an internal linking plan between pillar and cluster pages
- Request a visual map of the cluster structure for team presentations
ChatGPT organizes keywords into semantic clusters and explains the topical authority strategy behind each grouping. It suggests pillar and cluster content structures, recommends internal linking patterns, and can generate a visual content hub plan that shows how individual pieces connect to build comprehensive topic coverage.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to map keywords to topic clusters with ChatGPT
Once connected (see setup above), use the Keyword Research tool:
- Ask: "Group my keyword list into topic clusters"
- ChatGPT organizes keywords into semantically related groups
- Request: "Design a pillar page and supporting content plan for each cluster"
- Get a complete content architecture with page hierarchies and linking plans
Example prompt for ChatGPT
Try this with ChatGPT using the Keyword Research tool
Cluster these 50 keywords about "project management" into topics. Create a pillar-and-cluster content plan for each group.
Tips for ChatGPT
- ChatGPT presents clusters in a clear format that is easy to share with content teams
- Ask for content briefs for the pillar page of each cluster
- Request URL structure recommendations based on the cluster hierarchy
Copilot clusters keywords while you are organizing your site's content structure in code. Map keyword groups to directory structures, routing configurations, or content templates directly in your IDE, ensuring your technical architecture supports the topical authority strategy from the ground up.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to map keywords to topic clusters with Copilot
Once connected (see setup above), use the Keyword Research tool:
- Ask: "Cluster these keywords about 'API development' into topic groups"
- Review the cluster structure inline
- Ask Copilot to generate a site map or route structure for the clusters
- Implement the content architecture in your project
Example prompt for Copilot
Try this with Copilot using the Keyword Research tool
Cluster my developer tool keywords into topics and generate a Next.js route structure for a content hub.
Tips for Copilot
- Copilot can generate route files and page templates for each cluster
- Perfect for building structured documentation or knowledge bases
- Use clusters to organize your site navigation programmatically
OpenClaw clusters keywords into topic groups using semantic similarity analysis across large keyword sets. The structured output maps each keyword to its cluster with a relevance score, ready for import into content architecture planning tools or for building automated content hub structures programmatically.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to map keywords to topic clusters with OpenClaw
Once connected (see setup above), use the Keyword Research tool:
- Ask: "Cluster my keyword list into topic groups"
- Review the semantic keyword groupings
- Request: "Identify pillar topics and supporting subtopics for each cluster"
- Use the cluster map to build your content architecture
Example prompt for OpenClaw
Try this with OpenClaw using the Keyword Research tool
Cluster these keywords about "e-commerce marketing" into topics. Show me the pillar and supporting page structure.
Tips for OpenClaw
- Process large keyword lists (100+) for the most meaningful clusters
- Ask for cluster overlap analysis to spot potential cannibalization
- Re-cluster periodically as you add new keywords to your strategy
Frequently Asked Questions
How do I map keywords to topic clusters with an AI assistant?
Group related keywords into topic clusters to build topical authority and create a structured site architecture. Connect the Keyword Research tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Cluster these keywords into topic groups: [paste your keyword list]" Claude runs cluster_keywords and organizes your keywords into semantic groups
Which AI assistants can map keywords to topic clusters?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all map keywords to topic clusters using the Keyword Research tool through ToolRouter, with no API keys or coding required.
What does the Keyword Research tool do?
Discover, analyze, and organize keywords to build data-driven SEO and content strategies.
Related Use Cases
Analyze Keyword Competition
Evaluate how difficult it is to rank for specific keywords by analyzing SERP competition and domain authority.
Discover Question-Based Keywords
Find the questions people ask about your topic to create content that directly answers search queries.
Research Keywords by Search Intent
Classify keywords by user intent (informational, navigational, commercial, transactional) to align content with what searchers actually want.